Job Description

Role: Senior Data Engineer Role

Primary Skillset: AWS, Python, Pyspark, SQL, Databricks and Data Modelling

Experience Range: 6 to 13 Years

Job Description:

· Proven experience as a Data Engineer (typically 6-12 years, depending on level).

· Strong hands-on experience with Python for data engineering tasks.

· Proficiency in SQL (writing complex queries, performance tuning).

· Strong expertise in PySpark and Databricks.

· Hands-on experience working in AWS cloud environment (S3, Glue, EMR, Redshift, Lambda, etc.).

· Experience with data pipeline orchestration tools (e.g., Airflow, AWS Step Functions).

· Solid understanding of data modelling, warehousing, and ETL/ELT concepts.

· Knowledge of version control systems (Git) and CI/CD practices.

· Excellent problem-solving and communication skills

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